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  1. Michael Ramscar, Peter Hendrix, Cyrus Shaoul, Petar Milin & Harald Baayen (2014). The Myth of Cognitive Decline: Non‐Linear Dynamics of Lifelong Learning. Topics in Cognitive Science 6 (1):5-42.
    As adults age, their performance on many psychometric tests changes systematically, a finding that is widely taken to reveal that cognitive information-processing capacities decline across adulthood. Contrary to this, we suggest that older adults'; changing performance reflects memory search demands, which escalate as experience grows. A series of simulations show how the performance patterns observed across adulthood emerge naturally in learning models as they acquire knowledge. The simulations correctly identify greater variation in the cognitive performance of older adults, and successfully (...)
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  2. Michael Ramscar & Harald Baayen (2013). Production, Comprehension, and Synthesis: A Communicative Perspective on Language. Frontiers in Psychology 4.
    Production, comprehension, and synthesis: a communicative perspective on language.
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  3. Inbal Arnon & Michael Ramscar (2012). Granularity and the Acquisition of Grammatical Gender: How Order-of-Acquisition Affects What Gets Learned. Cognition 122 (3):292-305.
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  4. Michael Ramscar (2010). Computing Machinery and Understanding. Cognitive Science 34 (6):966-971.
    How are natural symbol systems best understood? Traditional “symbolic” approaches seek to understand cognition by analogy to highly structured, prescriptive computer programs. Here, we describe some problems the traditional computational metaphor inevitably leads to, and a very different approach to computation (Ramscar, Yarlett, Dye, Denny, & Thorpe, 2010; Turing, 1950) that allows these problems to be avoided. The way we conceive of natural symbol systems depends to a large degree on the computational metaphors we use to understand them, and machine (...)
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  5. Michael Ramscar, Daniel Yarlett, Melody Dye, Katie Denny & Kirsten Thorpe (2010). The Effects of Feature-Label-Order and Their Implications for Symbolic Learning. Cognitive Science 34 (6):909-957.
    Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood. We present a formal analysis of symbolic learning—in particular, word learning—in terms of prediction and cue competition, and we consider two possible ways in which symbols might be learned: by learning to predict a label from the features of objects and events in the world, and by learning to predict features from a (...)
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  6. Michael Ramscar, Daniel Yarlett, Melody Dye & Nal Kalchbrenner (2010). The Feature-Label-Order Effect in Symbolic Learning. Cognitive Science 34 (7).
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  7. Michelle C. St Clair, Padraic Monaghan & Michael Ramscar (2009). Relationships Between Language Structure and Language Learning: The Suffixing Preference and Grammatical Categorization. Cognitive Science 33 (7):1317-1329.
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  8. Michael Ramscar & Nicole Gitcho (2007). Developmental Change and the Nature of Learning in Childhood. Trends in Cognitive Sciences 11 (7):274-279.
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  9. Michael Ramscar & Daniel Yarlett (2007). Linguistic Self‐Correction in the Absence of Feedback: A New Approach to the Logical Problem of Language Acquisition. Cognitive Science 31 (6):927-960.
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  10. Teenie Matlock, Michael Ramscar & Lera Boroditsky (2005). On the Experiential Link Between Spatial and Temporal Language. Cognitive Science 29 (4):655-664.
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  11. Michael Ramscar (2003). The Past-Tense Debate: Exocentric Form Versus the Evidence. Trends in Cognitive Sciences 7 (3):107-108.
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  12. Michael Ramscar & Daniel Yarlett (2003). Semantic Grounding in Models of Analogy: An Environmental Approach. Cognitive Science 27 (1):41-71.
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  13. Michael Ramscar, Daniel Yarlett, Shimon Edelman, Nathan Intrator, Gergely Csibra, Szilvia Bıró, Orsolya Koós, György Gergely, Holk Cruse & Michael D. Lee (2003). Regular Articles Learning to Divide the Labor: An Account of Deficits in Light and Heavy Verb Production 1 Jean K. Gordon, Gary S. Dell Semantic Grounding in Models of Analogy: An Environmental Approach 41. Cognitive Science 27:945-948.
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  14. Jonathan M. Weinberg, Daniel Yarlett, Michael Ramscar, Dan Ryder & Jesse J. Prinz (2003). Jesse J. Prinz,Furnishing the Mind: Concepts and Their Perceptual Basis. Cambridge, Mass.: MIT Press, 2002. [REVIEW] Metascience 12 (3):279-303.
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  15. Lera Boroditsky & Michael Ramscar (2001). “First, We Assume a Spherical Cow ... ”. Behavioral and Brain Sciences 24 (4):656-657.
    There is an old joke about a theoretical physicist who was charged with figuring out how to increase the milk production of cows. Although many farmers, biologists, and psychologists had tried and failed to solve the problem before him, the physicist had no trouble coming up with a solution on the spot. “First,” he began, “we assume a spherical cow ... ” [Tenenbaum & Griffiths].
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